This repository contains a LoRA adapter for
meituan/EvoCUA-8B-20260105 specialized for the
GIMP software domain using the
LearnWeak framework.
LearnWeak is an annotation-free specialization framework for small computer-use agents (CUAs) introduced in the paper
Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents. It identifies a student model's weaknesses in a target domain using a stronger reference agent (teacher), synthesizes targeted tasks, and constructs automated supervision to improve performance.
You can serve this adapter alongside the base model using vLLM by enabling LoRA support:
1vllm serve meituan/EvoCUA-8B-20260105 \
2 --enable-lora \
3 --max-lora-rank 32 \
4 --lora-modules learnweak-gimp=SujiKim/learnweak-evocua-8b-lora-r32-gimp
LearnWeak specializes small computer-use agents for target desktop domains by identifying student weaknesses, generating targeted practice tasks, and training from teacher/student trajectory differences. This specific checkpoint focuses on the GIMP domain.
1@article{kim2026learnweaknessesautomateddomain,
2 title = {Learn from Weaknesses: Automated Domain Specialization for Small Computer-Use Agents},
3 author = {Kim, Suji and Kim, Kangsa and Hwang, Sung Ju},
4 journal = {arXiv preprint arXiv:2605.28775},
5 year = {2026}
6}
